702 search results - page 16 / 141 » Learning Probabilistic Models of Relational Structure |
98
Voted
TNN
1998
15 years 2 days ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
108
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
96
Voted
EMNLP
2006
15 years 1 months ago
2006
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
119
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PKDD
2009
Springer
15 years 7 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
93
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Abstract. Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to le...